DocumentCode
736421
Title
Two-dimensional trajectory optimization of stratospheric airship
Author
He, Li ; Xianwu, Lin
Author_Institution
Department of Automation, School of Information Science and Technology, Xiamen University, Xiamen 361005, P.R. China
fYear
2015
fDate
28-30 July 2015
Firstpage
2456
Lastpage
2461
Abstract
An asymptotical trajectory optimization method is proposed to solve the two dimensional trajectory optimization problem on circumstances that the singular perturbation is inapplicable, generally because the time scales of the motion model is not of different order of magnitude. Finding the cause of the coupling between velocity and sideslip angle is the exist of induce drag, the path can be optimized by neglecting the induce drag in the first step. Without the effect of thrust, it can be proved that the shortest path is the optimal one. And this shortest path is defined as the zero order solution. In the second step, basing on the path determined in zero order solution, and reconsidering the induce drag at the same time, the thrust can be optimized, and this optimal thrust is called the quasi first order solution. In the last step, the sideslip angle is re-optimized basing on the optimal thrust achieved in the quasi first order solution, and the result is called first order solution. As well, on this basis, a method to solve the trajectory optimization problem in a constant wind is proposed. In the end, the numerical example proves the superiority of the asymptotical method comparing with singular perturbation method, and shows the feasibility of this method under the condition of constant wind.
Keywords
Aircraft; Atmospheric modeling; Mathematical model; Performance analysis; Perturbation methods; Trajectory optimization; Asymptotical Optimization; Singular Perturbation; Stratospheric Airship; Trajectory Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260018
Filename
7260018
Link To Document